In recent years, some works tried to tackle few-shot font generation (FFG) with a few-shot Image-to-Image translation (I2I) scheme [1]}, [2]}, [3]}, [4]}, [5]}. Unlike zi2zi, the font style representation is learned from a few reference exemplars, rather than learning embeddings from different font labels. One popular strategy of these works is to explicitly disentangle the content and style representations from given content images and reference exemplars, and two representations are then combined and decoded into the target glyphs.
With the advance of these works, the generated glyphs' quality is significantly improved when the number of references is limited. Based on the explicit disentanglement ideas, the research of FFG can be divided into two different categories, i.e. global style representation and component-wise style representation. The former one models the glyph style as universal representation for each font [6]}, [4]}, [5]}, while the latter one utilizes component-wise style representation from different reference exemplars in the same font [3]}, [2]}, [1]}, [12]}.
